Foods Consumed by US Adults From Cafeterias and Vending Machines: NHANES 2005 to 2014.

PURPOSE: As part of wellness efforts, employers may seek to improve the nutritional quality of foods offered and consumed in cafeterias and vending machines. However, little is known about who consumes food from these venues and the types and dietary quality of the foods consumed. DESIGN: Cross-sectional. SETTING: Nonschool cafeterias and vending machines. PARTICIPANTS: US adults ≥20 years old. MEASURES: Prevalence of consuming foods, most common foods eaten, leading calorie sources, 2010 Healthy Eating Index. ANALYSIS: Using 24-hour dietary recall data from NHANES 2005-2014 (N = 25,549 adults), we estimated the prevalence of consuming foods, assessed the most commonly consumed foods, and calculated dietary quality of foods. RESULTS: On a given day, 3.1% of adults consumed foods from cafeterias and 3.9% from vending machines. Consumers averaged 692 kcal from cafeterias and 264 kcal from vending machines. Cafeteria consumers had higher income and education, while vending consumers were more likely to be male and younger adults. Common cafeteria foods included vegetables and fruits, but cafeteria foods were generally high in sodium and low in whole grains. Sugar-sweetened beverages and candies accounted for approximately half of all vending calories. CONCLUSION: Foods chosen from cafeterias and vending machines do not align well with the Dietary Guidelines for Americans. Improving the dietary quality of foods consumed from these venues could impact millions of adults.

Parental Characteristics and Reasons Associated With Purchasing Kids' Meals for Their Children.

PURPOSE: Characteristics of parents who purchased kids' meals, reasons for the purchase, and desire for healthy options were examined. DESIGN: Quantitative, cross-sectional study. SETTING: National. PARTICIPANTS: The SummerStyles survey data of 1147 parents (≥18 years). MEASURES: Self-reported outcome variables were purchase of kids' meals (yes/no), reasons for the purchase (13 choices), and desire for healthy options (yes/no). ANALYSIS: We used multivariable logistic regression to estimate odds ratios (ORs) for purchasing kids' meals based on parental sociodemographic and behavioral characteristics. RESULTS: Over half (51%) of parents reported purchasing kids' meals in the past month. The adjusted OR of purchasing kids' meals were significantly higher among younger parents (OR = 3.44 vs ≥50 years) and among parents who consumed sugar-sweetened beverages (SSBs) daily (OR = 2.70 vs none). No differences were found for race/ethnicity, income, and education. Parents who purchased kids' meals reported that the top 3 reasons for purchase were (1) because their children asked for kids' meals, (2) habit, and (3) offering of healthier sides such as fruits or fruit cups. Thirty-seven percent of parents who did not purchase kids' meals expressed willingness to purchase kids' meals if healthy options were available; this willingness was highest among younger parents (47%; P < .05). CONCLUSIONS: Kids' meal purchases were somewhat common. Our findings on characteristics of parents who frequently bought kids' meals (ie, younger parents and SSB consumers), common reasons for purchasing kids' meals, and willingness to buy healthier kids' meal can be used to inform intervention efforts to improve quality of kids' meals.

Factors Associated with Self-Reported Menu-Labeling Usage among US Adults.

BACKGROUND: Menu labeling can help people select foods and beverages with fewer calories and is a potential population-based strategy to reduce obesity and diet-related chronic diseases in the United States. OBJECTIVE: The aim of this cross-sectional study was to examine the prevalence of menu-labeling use among adults and its association with sociodemographic, behavioral, and policy factors. METHODS: The 2012 Behavioral Risk Factor Surveillance System data from 17 states, which included 100,141 adults who noticed menu labeling at fast-food or chain restaurants ("When calorie information is available in the restaurant, how often does this information help you decide what to order?") were used. Menu-labeling use was categorized as frequent (always/most of the time), moderate (half the time/sometimes), and never. Multinomial logistic regression was used to examine associations among sociodemographic, behavioral, and policy factors with menu-labeling use. RESULTS: Overall, of adults who noticed menu labeling, 25.6% reported frequent use of menu labeling, 31.6% reported moderate use, and 42.7% reported that they never use menu labeling. Compared with never users, frequent users were significantly more likely to be younger, female, nonwhite, more educated, high-income, adults who were overweight or obese, physically active, former- or never-smokers, less than daily (<1 time/day) consumers of sugar-sweetened beverage, and living in states where menu-labeling legislation was enacted or proposed. CONCLUSIONS: Menu labeling is one method that consumers can use to help reduce their calorie consumption from restaurants. These findings can be used to develop targeted interventions to increase menu-labeling use among subpopulations with lower use.

Use of calorie information at fast-food and chain restaurants among US adults, 2009.

BACKGROUND: The aim of this study was to examine reading and use of calorie information at fast-food/chain restaurants. METHODS: A cross-sectional analysis was conducted on a sample of 4363 US adults using the 2009 HealthStyles survey. The outcome variable was reading calorie information when available while ordering at fast-food/chain restaurants. Among those who go to fast-food/chain restaurants, we conducted multivariable logistic regression to examine associations between sociodemographic variables and reading calorie information when available. Among those who report reading calorie information when available, we assessed the proportion using calorie information. RESULTS: Among those who reported eating at fast-food/chain restaurants, 36.4% reported reading calorie information when available. Reading calorie information was not related to race/ethnicity, income or education. Compared with men, women had higher odds [adjusted odds ratio (OR) = 1.8; 95% confidence interval (CI) = 1.5-2.1] of reading calorie information when available while those who frequented fast-food/chain restaurants ≥3 times/week (aOR = 0.6; 95% CI = 0.4-0.8) had lower odds compared with those going <4 times/month. Of those who reported reading calorie information when available, 95.4% reported using calorie information at least sometimes. CONCLUSIONS: Almost all who read calorie information when available use the information at least sometimes. Research is needed on how calorie information is being used.